What is Reddit's opinion of All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)?

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And his class has a book, which he wrote, and might go more in depth.

You are most welcome.

You may want to move on to something more advanced afterwards. All of Statistics was written for learners who want to learn state of the art probability and statistics quickly. It assumes knowledge of calculus and linear algebra though. Unfortunately, I don't know of any video series that covers this content concisely.

• Epidemiology text: The Gordis text is good.
• Statistics text: https://www.amazon.com/gp/product/0387402721/
• Machine learning (have heard good things but I don't have it yet): https://www.statlearning.com/

I've seen Larry Wasserman's All of Statistics recommended as an intro to statistics for mathematically competent readers (e.g. it's the textbook for the Berkeley masters'-level intro statistics class). I haven't read it personally though so can't speak directly to quality or the level of rigor.

https://www.amazon.com/All-Statistics-Statistical-Inference-Springer/dp/0387402721

Perhaps a good place to start is to learn more about probability theory. Joe Blitzen at Harvard teaches a great intro course on probability: Harvard 110.

From there, a good crash course on more advanced statistics is All of Statistics: A Concise Course in Statistical Inference by Larry Wasserman.

The book All of Statistics gives a broad but (relatively) quick introduction to modern statistics.